Job Location: Pune
Location Flexibility: Multiple Locations in Country
Req Id: 10851
Posting Start Date: 8/19/26
At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.
With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).
Job Description
The Senior Data Engineer will be responsible for leading the support, optimization, and troubleshooting of enterprise data engineering pipelines and analytics platforms. This role requires robust hands-on experience with Snowflake, Databricks, AWS Glue, SQL,
Python/PySpark, ETL/ELT development, data modeling, and production support. The resource should be able to work independently on complex data issues, guide other engineers, and coordinate with client SMEs for L2/L3 resolution and production changes.
Enhance and support ETL/ELT pipelines using Snowflake, Databricks, AWS Glue, SQL, Python, and PySpark.
Perform advanced troubleshooting for data pipeline failures, data refresh issues, performance problems, and data quality defects.
Optimize Snowflake queries, Databricks jobs/notebooks, AWS Glue jobs, and data processing workflows for reliability, performance, and cost efficiency.
Support data modeling, schema design, ingestion patterns, transformation logic, and reusable data engineering frameworks.
Guide intermediate and junior data engineers on development standards, code review, testing, release support, and support documentation.
Coordinate with Custo
📌 Application Development (India)
🏢 Fujitsu
📍 India